Published Aug 10, 2021 · Updated Sep 10, 2026
Get your AI Endurance best training plan into TrainingPeaks. From there, you can execute your TrainingPeaks workouts in Zwift and many other apps. Connect your AI Endurance account once and any changes will automatically be synced with TrainingPeaks.
You can also query your training data through ChatGPT or Claude with the AI Endurance athlete data MCP.
TrainingPeaks is the leading platform for endurance athletes to follow a structured training plan. As such, it has plenty of integrations with other training apps. You can now get your personalized and predictive AI Endurance training plan directly into TrainingPeaks with just a few clicks. You require a TrainingPeaks Premium account to access your AI Endurance workouts in TrainingPeaks.
First, go to your AI Endurance Apps page, go to 'Connected Apps' and click on TrainingPeaks:
Next, authorize AI Endurance to access your TrainingPeaks data and workouts:
That's it! From now on, AI Endurance will forward your training plan automatically into TrainingPeaks.
Edit May 2026: We recommend you connect Zwift directly to AI Endurance on the Apps page, no TrainingPeaks needed.
If you also connect your TrainingPeaks account with your Zwift account, TrainingPeaks will forward your AI Endurance workouts to Zwift. You can find today's workout in the workout folder under the TrainingPeaks dropdown:
TrainingPeaks syncs with Zwift every day to export your workout of the day, find more details here. You can still export your AI Endurance training plans manually to Zwift, but syncing through TrainingPeaks makes that process easier. In particular, if your training plan is often adapted, we recommend using TrainingPeaks for a fully automatic 'click and forget' export and synchronisation of your training plan.
TrainingPeaks connects to a whole ecosystem of apps. As a result, you can execute your AI Endurance workouts for many other devices which may not be directly integrated with AI Endurance. For example, see here for a list of TrainingPeaks integrations. If we have a direct integration you don't need to go though TrainingPeaks. For example, to export your workouts directly to Garmin Connect, you can follow these instructions.
If you adapt your training plan by changing your zones, moving a workout to a different day or requesting a new training plan altogether, all changes will be automatically synced with your TrainingPeaks account. Connect once and never worry about exporting your workouts again. AI Endurance continuously exports your workouts so your next week of workouts is always up to date in TrainingPeaks.
Before every workout you should know if you're actually ready for it. Everyone responds differently to stress, bad sleep and exercise fatigue - our new recovery model makes data driven decisions about when you should train and when you shouldn't - based on heart rate variability (HRV).
We compare polarized training, threshold training and AI optimized endurance training. AI optimized training yields the best results, followed by polarized training with threshold training in third. The results are inline with current exercise physiology research. If the training composition is not optimized to the individual athlete, substantially smaller gains are to be expected.
If you do not want to use Zwift or other virtual platforms, you can simply execute your AI Endurance cycling workouts by letting your Garmin control your smart trainer. For example, let your Garmin Edge 530 or Forerunner 945 control your Wahoo Kickr trainer. All smart trainers supporting the ANT+ FE-C protocol, including Tacx, are supported.
Daily readiness to train is affected by many factors including sleep, illness and training load. Heart rate variability (HRV) readiness to train metrics typically rely on measurements taken immediately upon waking in the morning. We introduce an HRV readiness to train and a durability metric based on DFA alpha 1 (a1) measurements taken during exercise. These new metrics provide additional insights and do not require you to measure HRV upon waking.
